1. Markov Decision Processes Outline (EMGT 457) and Course Website
Course Description: This course is designed for Ph.D. students interested in systems and control. The main topics covered are Markov Decision Processes (MDPs), Bellman equations, dynamic programming, average and discounted reward (cost), reinforcement learning, and applications of MDPs. In addition, depending on time remaining and student interest, we also cover semi-MDPs (SMDPs), control via renewal reward processes, and basics of queuing performance analysis (M/M/1, M/G/1, G/G/1, and G/G/k queues). This course involves a significant amount of computer programming, and those who are afriad of or hate computer programming are strongly advised to not enroll in this course. We will use MATLAB as our programming tool in this course.
Course Description: The course is meant to introduce students to discrete-event simulation of systems. The course is at an undergraduate level. By the end of the semester, students are expected to be familiar with the principles underlying discrete-event simulation, the advantages/disadvantages of simulation models, and analyzing the inputs needed for a simulation model and the outputs delivered by a simulation software program. Further, students are expected to learn the basics of ARENA, which is a commercial simulation software program that will be used for training, and are expected to be able to write computer programs for complex systems encountered in manufacturing and service systems.
Prerequisites: Stat 215 or 217
Course Goals: General Outcomes
Topics Covered:
Course Description: The course is meant to introduce students to designing the layout in a factory and perform location analysis. The course is at an undergraduate level, and also has a laboratory component. By the end of the semester, students are expected to be familiar with the different types of layouts used in manufacturing, and how to design a layout from scratch. Students are also expected to perform location analysis of manufacturing plants and the sites of their retailers (customers) and suppliers.
Prerequisites: Eng Mgt 134 and 147
Course Goals: General Outcomes:
Topics Covered
4. Operations Planning and Scheduling (EMGT 372)
Course Description: The course is meant to introduce students to the basic principles underlying production planning and production scheduling. The course is at an undergraduate level. By the end of the semester, students are expected to be familiar with the different mechanisms used for inventory control, forecasting of demand, Kanban control, MRP systems, basics of lean manufacturing, and techniques used in scheduling. Students are also exposed to key concepts underlying inventory control related to supply chain management, including zero inventory, vendor-managed inventory, and the bull-whip effect.